| KEYWORD |
Advancing Rainfall Prediction through Deep Learning
Reference persons DANIELE APILETTI
Description Design a machine learning solution to forecast daily rainfall statistics mixing environmental data and theoretical models with deep learning and domain knowledge integration.
Project Overview:
Develop a predictive model integrating environmental data and theoretical frameworks
Focus on enhancing rainfall prediction accuracy for daily statistics
Contextualize the project within a broader initiative: Digital Twin Design of Water Basins in Mountain Regions
The project aims to enhance understanding of rainfall patterns in mountainous regions to optimize water resource management and conservation efforts
The candidate will gain hands-on experience in machine learning and environmental data analysis, contributing to a significant real-world project with potential environmental implications
Deadline 19/02/2025
PROPONI LA TUA CANDIDATURA